Eduardo Feo-Flushing

Eduardo
Feo-Flushing

Assistant Professor, Computer Science
Carnegie Mellon University in Qatar

Office: CMUQ 1005
Phone: +974 4454 6667
Email: efeoflus [at] andrew.cmu.edu

I am an assistant teaching professor in the Computer Science program at Carnegie Mellon University in Qatar, affiliated with the School of Computer Science at Carnegie Mellon University, and the Software and Societal Systems Department (S3D) .

My research focuses on the study and implementation of complex cyber-physical systems: systems that are composed of hardware and software elements. Some of the topics I have contributed to include mobile wireless networking, mobile robotics, multi-robot systems, and edge computing.

I'm always looking for highly motivated students. If you are interested, please email me directly.

Recent News

New QNRF Project Award: HyBrush: A Hybrid UAV Brushing System for PV monitoring and cleaning
New QNRF Project Award: Autonomous PV Cleaning and Inspection System for Hot Desert Weather Conditions
CMUQ News

Publications

Task offloading in edge computing for machine learning-based smart healthcare

[Article]

M. Aazam, S. Zeadally, E. Feo Flushing

Computer Networks (2021)

    @inproceedings{AazZeaFeo21,
    author = {Mohammad Aazam and Sherali Zeadally and Eduardo {Feo Flushing}},
    title = {Task offloading in edge computing for machine learning-based smart healthcare},
journal = {Computer Networks},
volume = {191},
pages = {108019},
year = {2021},
issn = {1389-1286},
doi = {https://doi.org/10.1016/j.comnet.2021.108019},
}

Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks

[PDF]

Y. Ansari, N. Tiyal, E. Feo-Flushing and S. Razak

2021 IEEE 46th Conference on Local Computer Networks (LCN)

@INPROCEEDINGS{AnsTiyFeoRaz21,
  author={Ansari, Yaqoob and Tiyal, Nouha and Feo-Flushing, Eduardo and Razak, Saquib},
  booktitle={IEEE 46th Conference on Local Computer Networks (LCN)},
  title={Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks},
  year={2021},
  volume={},
  number={},
  pages={435-438},
  doi={10.1109/LCN52139.2021.9525019}}

Spatially-distributed missions with heterogeneous multi-robot teams

[PDF]

[Online]

E. Feo-Flushing, L.M. Gambardella, G.A. Di Caro

IEEE Access (2021)

    @ARTICLE{FeoDicGam21,
  author={E. {Feo-Flushing} and L.M. Gambardella and G.A. {Di Caro}},
  journal={IEEE Access},
  title={Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams},
  year={2021},
  volume={9},
  number={},
  pages={67327-67348},
  doi={10.1109/ACCESS.2021.3076919}}

Teaching

Spring 2024: Foundations of Software Engineering - Pittsburgh (17-313)
Fall 2023: Foundations of Software Engineering (17-313)
Fall 2023: Fundamentals of Programming and Computer Science (15-112)
Summer 2023: Integral Calculus (21-112)
Spring 2023: Web Application Development (17-437)
Spring 2023: Fundamentals of Programming and Computer Science (15-112)
Fall 2022: Principles of Computing (15-110)
Summer 2022: Fundamentals of Programming and Computer Science (15-112)
Summer 2022: Integral Calculus (21-112)
Spring 2022: Fundamentals of Programming and Computer Science (15-112)
Fall 2021: Fundamentals of Programming and Computer Science (15-112)

Bio

I completed my PhD in Informatics at the Dalle Molle Institute for Artificial Intelligence (IDSIA) in Lugano in 2017. At IDSIA , I was part of the robotics lab and I worked on several multidisciplinary projects, including the SWARMIX project and NCCR Robotics under the supervision of Professor Luca M. Gambardella. Before starting my PhD, I received an Erasmus Mundus Master scholarship for the European Master in Informatics programme, and completed a MSc. in Informatics from University of Trento, Italy (2010) and a MSc. in Software System Engineering from RWTH-Aachen University, Germany (2010).